计算机科学 ›› 2018, Vol. 45 ›› Issue (7): 286-292.doi: 10.11896/j.issn.1002-137X.2018.07.049

• 交叉与前沿 • 上一篇    下一篇

面向知识服务的科技资源协同创新服务机制

饶元,陆淑敏   

  1. 西安交通大学软件学院社会智能与复杂数据处理实验室 西安710049
  • 收稿日期:2017-05-21 出版日期:2018-07-30 发布日期:2018-07-30
  • 作者简介:饶 元 博士,副教授,CCF会员,主要研究领域为社会智能与复杂数据处理、知识服务与工程;陆淑敏 女,博士,副教授,主要研究领域为知识经济与智能服务、电子商务,E-mail:shuminlu@126.com(通信作者)。
  • 基金资助:
    本文受教育部“云数融合科教创新”基金项目(2017B00030),中央高校基本科研业务费(ZDYF2017006),陕西省科技厅协同创新项目(2015XT-21),陕西省软科学重点项目(2013KRZ10)资助。

KAAS-based Service Mechanism of Technology Resources for Collaborative Innovation

RAO Yuan, LU Shu-min   

  1. The Lab of Social Intelligence and Complex Data Processing,School of Software Engineering,Xi’an Jiaotong University,Xi’an 710049,China
  • Received:2017-05-21 Online:2018-07-30 Published:2018-07-30

摘要: 在对知识即服务元模型进行定义与分析的基础上,提出了一个科技资源协同服务元模型STRCS,该模型包括科技资源模型、服务模型、协同模型3个子模型以及相应的科技资源与服务。同时,通过建立KAAS元模型与科技资源服务元模型间的映射机制,为科技资源平台中的知识服务模式提供了服务映射机制。在此基础上,进一步提出了一种面向KAAS的科技资源协同服务分类与知识聚合新机制,并针对动态多标签和动态文档索引的分类和聚合方式提出了优化的机制,以及科技资源的个性化服务与科技资源的知识协同机制;通过开发实现了一个基于社会化与知识服务化的科技资源公共服务平台,并利用算法优化提升了科技资源平台个性化推荐的能力与精确度,从而为解决科技资源协同创新和个性化知识服务的实施与集成提供了一个新方案。

关键词: KAAS, STRCS, 科技资源, 协同创新服务, 知识服务云

Abstract: Based on the definition and analysis of KAAS,ascience and technology resource collaborative service model,called STRCS,was proposed in this paper.STRCS model includes technology resources model,service model and colla-borative model,and corresponding technology resources and service.At the same time,the service mapping mechanism between KAAS and STRCS was built to provide some new knowledge aggregation service pattern.Furthermore,aiming at the way of classification and aggregation of multiple tags querying and dynamic document indexing,an optimized mechanism was proposed.Meanwhile,knowledge synergy mechanism and personalized service of science and technology resources were given.A public service platform for science and technology resources based on socialization and know-ledge service was developed,and optimization of algorithm was used to enhance the ability and accuracy of personalized recommendation of science and technology resources platform,thus providing a new solution for the implementation and integration of collaborative innovation of science and technology resources and personalized knowledge service.

Key words: Collaborative innovation service, KAAS, Knowledge service cloud, STRCS, Technology resource

中图分类号: 

  • TP182
[1]吴兴惠,马文会,戴永年.加强产学研用协同创新,提升服务水平[EB/OL].[2016-5-17].http://ynunews.cuepa.cn/show_more.php?tkey=&bkey=&doc_id=619723.<br /> [2]西安科技大市场[EB/OL].[2017-4-19].http://www.xatrm.com.<br /> [3]广州科技资源服务平台[OL].[2017-4-19].http://www.gzstp.cn.<br /> [4]WANG F Y.Decision Service and Academic Analytics for Deve-lopment of S&T based on Open Source Intelligence and Big Data[J].Bulletin of Chinese Academy of Sciences,2012,27(5):527-537.(in Chinese)<br /> 王飞跃.知识产生方式和科技决策支撑的重大变革——面向大数据和开源信息的科技态势解析与决策服务[J].中国科学院院刊,2012,27(5):527-537.<br /> [5]SULTAN,NABIL.Knowledge management in the age of cloud computing and Web 2.0:Experiencing the power of disruptive innovations [J].IEEE Engineering Management Review,2015,33(1):37-46.<br /> [6]DEPEIGE A,DOYENCOURT D.Actionable Knowledge As a Service (AKAAS):Leveraging big data analytics in cloud computing environments [J].Journal of Big Data,2015,2(1):2-12.<br /> [7]JENSEN M B,JOHNSONE B,LORENZ E,et al.Forms ofknowledge and modes of innovation [J].Research Policy,2007,36(5):680-693.<br /> [8]BURT R S.Information and Structural Holes:Comment on Rea-gans and Zuckerman [J].Industrial and Corporate Change,2008,17(5):953-969.<br /> [9]ZHUGE H,XU B.Basic operations,completeness and dynamicity of Cyber Physical Socio semantic link network CPSSocio-SLN Concurrency and Computation[J].Practice and Experience,2011,23(9):924-939.<br /> [10]WANG Z,ZHANG J,FENG J,et al.Knowledge Graph andText Jointly Embedding[C]∥Conference on Empirical Methods in Natural Language Processing.2014:1591-1601.<br /> [11]LIU J,JIN S N.Kaas(Knowledge as a service):Stratified Model of Knowledge Service Based on Needs of Readers and Practice[J].Information Science,2014(3):55-60.(in Chinese)<br /> 刘军,金淑娜.Kaas知识即服务:面向读者需求的分层知识服务模型及实践[J].情报科学,2014(3):55-60.<br /> [12]GROLINGER K,MEZGHANI E,CAPRETZ M A M,et al.Collaborative knowledge as a service applied to the disaster ma-nagement domain[J].International Journal of Cloud Computing,2015,4(1):1-22.
[1] 王杰, 李晓楠, 李冠宇.
基于自适应注意力机制的知识图谱补全算法
Adaptive Attention-based Knowledge Graph Completion
计算机科学, 2022, 49(7): 204-211. https://doi.org/10.11896/jsjkx.210400129
[2] 方连花, 林玉梅, 吴伟志.
随机多尺度序决策系统的最优尺度选择
Optimal Scale Selection in Random Multi-scale Ordered Decision Systems
计算机科学, 2022, 49(6): 172-179. https://doi.org/10.11896/jsjkx.220200067
[3] 许思雨, 秦克云.
基于剩余格的模糊粗糙集的拓扑性质
Topological Properties of Fuzzy Rough Sets Based on Residuated Lattices
计算机科学, 2022, 49(6A): 140-143. https://doi.org/10.11896/jsjkx.210200123
[4] 蔡晓娟, 谭文安.
一种改进的融合相似度和信任度的协同过滤算法
Improved Collaborative Filtering Algorithm Combining Similarity and Trust
计算机科学, 2022, 49(6A): 238-241. https://doi.org/10.11896/jsjkx.210400088
[5] 李妍妍, 秦克云.
广义粗糙近似算子的拓扑性质
On Topological Properties of Generalized Rough Approximation Operators
计算机科学, 2022, 49(3): 263-268. https://doi.org/10.11896/jsjkx.210100204
[6] 赵杨, 倪志伟, 朱旭辉, 刘浩, 冉家敏.
基于改进狮群进化算法的面向空间众包平台的多工作者多任务路径规划方法
Multi-worker and Multi-task Path Planning Based on Improved Lion Evolutionary Algorithm forSpatial Crowdsourcing Platform
计算机科学, 2021, 48(11A): 30-38. https://doi.org/10.11896/jsjkx.201200085
[7] 徐进.
面向工业装配的知识图谱构建与应用研究
Construction and Application of Knowledge Graph for Industrial Assembly
计算机科学, 2021, 48(6A): 285-288. https://doi.org/10.11896/jsjkx.200600116
[8] 丁玲, 向阳.
基于分层次多粒度语义融合的中文事件检测
Chinese Event Detection with Hierarchical and Multi-granularity Semantic Fusion
计算机科学, 2021, 48(5): 202-208. https://doi.org/10.11896/jsjkx.200800038
[9] 鲁巡, 李妍妍, 秦克云.
三种近似算子之间的关系
Relationship Among Three Types of Rough Approximation Pairs
计算机科学, 2021, 48(4): 49-53. https://doi.org/10.11896/jsjkx.200900089
[10] 胡平, 秦克云.
基于模糊等价的毕达哥拉斯模糊集相似度构造方法
Similarity Construction Method for Pythagorean Fuzzy Set Based on Fuzzy Equivalence
计算机科学, 2021, 48(1): 152-156. https://doi.org/10.11896/jsjkx.191100102
[11] 郭庆春,马建敏.
对偶区间集概念格上区间集协调集的判定方法
Judgment Methods of Interval-set Consistent Sets of Dual Interval-set Concept Lattices
计算机科学, 2020, 47(3): 98-102. https://doi.org/10.11896/jsjkx.190500098
[12] 冯晨娇,梁吉业,宋鹏,王智强.
基于极端评分行为的相似度计算
New Similarity Measure Based on Extremely Rating Behavior
计算机科学, 2020, 47(2): 31-36. https://doi.org/10.11896/jsjkx.190500130
[13] 石晓玲, 陈芷, 杨立功, 沈伟.
基于自适应样本权重的矩阵分解推荐算法
Matrix Factorization Recommendation Algorithm Based on Adaptive Weighted Samples
计算机科学, 2019, 46(6A): 488-492.
[14] 陈德江, 王君, 张浩为.
基于直觉模糊多属性决策的动态威胁评估模型
Dynamic Threat Assessment Model Based on Intuitionistic Fuzzy Multiple Attribute Decision Making
计算机科学, 2019, 46(4): 183-188. https://doi.org/10.11896/j.issn.1002-137X.2019.04.029
[15] 林洪,秦克云.
决策形式背景基于三支决策规则的属性约简
Attribute Reduction for Decision Formal Contexts Based on Threek-way Decision Rules
计算机科学, 2019, 46(3): 248-252. https://doi.org/10.11896/j.issn.1002-137X.2019.03.037
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!